Associate Professor
Beijing University of Posts and Telecommunications, Beijing, Chinaqiyg AT bupt DOT edu DOT cn
I am currently an associate professor at BUPT. Previously, I was a PhD student at Pattern Recognition and Intelligent Systems (PRIS) laboratory at BUPT. I received the PhD in Signal Processing from Beijing University of Posts and Telecommunications (BUPT) in 2015 (Supervisor: Professor Jun Guo). From 2019 to 2020, I was a visiting scholar at SketchX lab headed by Dr. Yi-Zhe Song at the Centre for Vision Speech and Signal Processing (CVSSP) in University of Surrey. I also worked as a guest PhD at Aalborg University in Denmark in 2013 and a visiting researcher at Sun Yat-sen University in China in 2014.
My research focuses on computer vision and multimodal learning, with particular interests in human sketch related tasks, image/video generation, and diffusion models. My recent work emphasizes multimodal representation learning, cross-modal alignment, and generative modeling for complex, real-world scenarios.
拟招收博士研究生一名（申请-考核、硕博连读、公开报考），欢迎带简历邮件联系。
常年招收2-4名硕士研究生（保研+考研）、科研实习生若干名（3-6个月及以上），欢迎有科研热情的同学带简历邮件联系。正在招收2026年保研同学，欢迎联系。
News
- 2025-01: One paper (Video generation) to appear in ICLR 2025.
- 2024-12: Two papers (Edge detection & Text-to-image generation) to appear in AAAI 2025 including one Oral!
- 2024-01: One paper (Sketch generation) to appear in ICLR 2024.
- 2023-03: One paper about explainable ZS-SBIR to appear in CVPR 2023 as a highlight!
- 2023-01: Our work on vectorized sketch generation with diffusion model to appear in ICLR 2023 (Spotlight).
- 2022-10: Our work on sketch to image generation using diffusion model is accepted by BMVC 2022.
- 2022-09: One work about sketch to point cloud generation is accepted by ACCV 2022 (Oral)!
- 2022-04: Our work Generative Sketch Healing is accepted by IJCV!
- 2022-04: I am co-organizing the 2nd workshop on Sketching for Human Expressivity (SHE) at ECCV'22!
- 2021-12: Promoted to an associate professor.
- 2021-10: One paper on sketch-based 3D shape retrieval (SBSR) with a new fine-grained SBSR dataset got accepted by TIP!
- 2021-07: One paper on latticed sketch representation for sketch manipulation got accepted by ICCV 2021! Code and pre-trained models are publicly available now.
- 2021-04: I am co-organizing 1st workshop on Sketching for Human Expressivity (SHE) at ICCV'21!
- 2021-03: One paper on perceptual reasoning got accepted by CVPR 2021!
- 2020-11: One journal paper got accepted by IEEE TCSVT.
- 2020-08: One paper is accepted at BMVC 2020 as oral presentation.
- 2020-03: Two papers got accepted by IEEE ICME 2020.
- 2019-12: One journal paper got accepted by IEEE TCSVT.
- 2019-11: Moved to UK and started my visiting at CVSSP in University of Surrey!
- 2019-08: One paper got accepted by IEEE VCIP 2019.
- 2019-05: Got sponsorship from Chinese Scholarship Council (CSC) for visiting SketchX Lab at CVSSP in University of Surrey for one year!
Selected Publications
*: equal contribution #: corresponding author
Autoregressive Video Generation without Vector Quantization
Haoge Deng, Ting Pan, Haiwen Diao, Zhengxiong Luo, Yufeng Cui, Huchuan Lu, Shiguang Shan, Yonggang Qi#, Xinlong Wang#
International Conference on Learning Representations (ICLR 2025).
VersaGen: Unleashing Versatile Visual Control for Text-to-Image Synthesis
Zhipeng Chen, Lan Yang, Yonggang Qi, Honggang Zhang, Kaiyue Pang, Ke Li, & Yi-Zhe Song.
AAAI Conference on Artificial Intelligence (AAAI 2025). Oral
SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detection
Xing Liufu, Chaolei Tan, Xiaotong Lin, Yonggang Qi, Jinxuan Li & Jian-Fang Hu
AAAI Conference on Artificial Intelligence (AAAI 2025).
Scale-Adaptive Diffusion Model for Complex Sketch Synthesis
Jijin Hu, Ke Li, Yonggang Qi & Yi-Zhe Song.
International Conference on Learning Representations (ICLR 2024).
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style
Fengyin Lin*, Mingkang Li*, Da Li, Timothy Hospedales, Yi-Zhe Song, Yonggang Qi
Computer Vision and Pattern Recognition (CVPR 2023). Highlight
SketchKnitter: Vectorized Sketch Generation with Diffusion Models
Qiang Wang, Haoge Deng, Yonggang Qi#, Da Li, Yi-Zhe Song
International Conference on Learning Representations (ICLR 2023). Spotlight
A Diffusion-ReFinement Model for Sketch-to-Point Modeling
Di Kong, Qiang Wang, Yonggang Qi#.
The 16th Asian Conference on Computer Vision (ACCV 2022). Oral
DiffSketching: Sketch Control Image Synthesis with Diffusion Models
Qiang Wang, Di Kong, Yonggang Qi#.
The 33rd British Machine Vision Conference (BMVC 2022).
Generative Sketch Healing
Yonggang Qi, Guoyao Su, Qiang Wang, Jie Yang, Kaiyue Pang and Yi-Zhe Song.
International Journal of Computer Vision (IJCV), Springer.
[ Paper ]--[ Project Page ]
SketchLattice: Latticed Representation for Sketch Manipulation
Yonggang Qi*, Guoyao Su*, Pinaki Nath Chowdhury, Mingkang Li and Yi-Zhe Song.
IEEE International Conference on Computer Vision (ICCV), 2021.
PQA: Perceptual Question Answering
Yonggang Qi*, Kai Zhang*, Aneeshan Sain and Yi-Zhe Song.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Towards Fine-Grained Sketch-Based 3D Shape Retrieval
Anran Qi, Yulia Gryaditskaya, Jifei Song, Yongxin Yang, Yonggang Qi, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song.
IEEE Transactions on Image Processing (TIP), 2021.
Towards Practical Sketch-based 3D Shape Generation: The Role of Professional Sketches
Yue Zhong, Yonggang Qi, Yulia Gryaditskaya, Honggang Zhang, and Yi-Zhe Song.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
SketchHealer: A Graph-to-Sequence Network for Recreating Partial Human Sketches
Guoyao Su, Yonggang Qi, Kaiyue Pang, Jie Yang and Yi-Zhe Song.
The 31st British Machine Vision Virtual Conference (BMVC2020)
Oral Presentation, 5% acceptance rate
S3NET: Graph Representational Network For Sketch Recognition
Lan Yang, Aneeshan Sain, Linpeng Li, Yonggang Qi, Honggang Zhang and Yi-Zhe Song.
2020 IEEE International Conference on Multimedia and Expo (ICME2020)
Improved Traffic Sign Detection In Videos Through Reasoning Effective RoI Proposals
Yanting Zhang, Yonggang Qi, Jie Yang and Jenq-Neng Hwang.
2020 IEEE International Conference on Multimedia and Expo (ICME2020)
Sketch Fewer to Recognize More by Learning A Co-regularized Sparse Representation
Yonggang Qi and Yi-Zhe Song.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
Unpaired Image-to-Sketch Translation Network for Sketch Synthesis
Yue Zhang, Guoyao Su, Yonggang Qi and Jie Yang.
IEEE Visual Communications and Image Processing (VCIP), 2019.
SketchSegNet+: An End-to-End Learning of RNN for Multi-Class Sketch Semantic Segmentation
Yonggang Qi and Zheng-Hua Tan.
IEEE ACCESS.
Image Retrieval by Dense Caption Reasoning
Xinru Wei, Yonggang Qi, Jun Liu and Fang Liu.
IEEE Visual Communications and Image Processing (VCIP), 2017. Oral
Instance-level Coupled Subspace Learning for Fine-grained Sketch-based Image Retrieval
Peng Xu, Qiyue Yin, Yonggang Qi, Yi-Zhe Song, Zhanyu Ma, Liang Wang and Jun Guo.
European Conference on Computer Vision (ECCV), Workshop on Visual Analysis of Sketches, 2016. Oral
Sketch-based Image Retrieval via Siamese Convolutional Neural Network
Yonggang Qi, Yi-Zhe Song, Honggang Zhang and Jun Liu.
IEEE International Conference on Image Processing (ICIP), 2016.
Making Better Use of Edges via Perceptual Grouping
Yonggang Qi, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Timothy Hospedales, Yi Li and Jun Guo.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
Im2Sketch: Sketch generation by unconflicted perceptual grouping
Yonggang Qi, Jun Guo, Yi-Zhe Song, Tao Xiang, Honggang Zhang and Zheng-Hua Tan.
Neurocomputing
sketching by perceptual grouping
Yonggang Qi, Jun Guo, Yi Li, Honggang Zhang, Tao Xiang and Yi-Zhe Song.
IEEE International Conference on Image Processing (ICIP), 2013.
Autoregressive Video Generation without Vector Quantization
Haoge Deng, Ting Pan, Haiwen Diao, Zhengxiong Luo, Yufeng Cui, Huchuan Lu, Shiguang Shan, Yonggang Qi#, Xinlong Wang#
International Conference on Learning Representations (ICLR 2025).
VersaGen: Unleashing Versatile Visual Control for Text-to-Image Synthesis
Zhipeng Chen, Lan Yang, Yonggang Qi, Honggang Zhang, Kaiyue Pang, Ke Li, & Yi-Zhe Song.
AAAI Conference on Artificial Intelligence (AAAI 2025). Oral
SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detection
Xing Liufu, Chaolei Tan, Xiaotong Lin, Yonggang Qi, Jinxuan Li & Jian-Fang Hu
AAAI Conference on Artificial Intelligence (AAAI 2025).
Scale-Adaptive Diffusion Model for Complex Sketch Synthesis
Jijin Hu, Ke Li, Yonggang Qi & Yi-Zhe Song.
International Conference on Learning Representations (ICLR 2024).
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style
Fengyin Lin*, Mingkang Li*, Da Li, Timothy Hospedales, Yi-Zhe Song, Yonggang Qi
Computer Vision and Pattern Recognition (CVPR 2023). Highlight
SketchKnitter: Vectorized Sketch Generation with Diffusion Models
Qiang Wang, Haoge Deng, Yonggang Qi#, Da Li, Yi-Zhe Song
International Conference on Learning Representations (ICLR 2023). Spotlight
A Diffusion-ReFinement Model for Sketch-to-Point Modeling
Di Kong, Qiang Wang, Yonggang Qi#.
The 16th Asian Conference on Computer Vision (ACCV 2022). Oral
DiffSketching: Sketch Control Image Synthesis with Diffusion Models
Qiang Wang, Di Kong, Yonggang Qi#.
The 33rd British Machine Vision Conference (BMVC 2022).
Generative Sketch Healing
Yonggang Qi, Guoyao Su, Qiang Wang, Jie Yang, Kaiyue Pang and Yi-Zhe Song.
International Journal of Computer Vision (IJCV), Springer.
[ Paper ]--[ Project Page ]
SketchLattice: Latticed Representation for Sketch Manipulation
Yonggang Qi*, Guoyao Su*, Pinaki Nath Chowdhury, Mingkang Li and Yi-Zhe Song.
IEEE International Conference on Computer Vision (ICCV), 2021.
PQA: Perceptual Question Answering
Yonggang Qi*, Kai Zhang*, Aneeshan Sain and Yi-Zhe Song.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Towards Fine-Grained Sketch-Based 3D Shape Retrieval
Anran Qi, Yulia Gryaditskaya, Jifei Song, Yongxin Yang, Yonggang Qi, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song.
IEEE Transactions on Image Processing (TIP), 2021.
Towards Practical Sketch-based 3D Shape Generation: The Role of Professional Sketches
Yue Zhong, Yonggang Qi, Yulia Gryaditskaya, Honggang Zhang, and Yi-Zhe Song.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
SketchHealer: A Graph-to-Sequence Network for Recreating Partial Human Sketches
Guoyao Su, Yonggang Qi, Kaiyue Pang, Jie Yang and Yi-Zhe Song.
The 31st British Machine Vision Virtual Conference (BMVC2020)
Oral Presentation, 5% acceptance rate
S3NET: Graph Representational Network For Sketch Recognition
Lan Yang, Aneeshan Sain, Linpeng Li, Yonggang Qi, Honggang Zhang and Yi-Zhe Song.
2020 IEEE International Conference on Multimedia and Expo (ICME2020)
Improved Traffic Sign Detection In Videos Through Reasoning Effective RoI Proposals
Yanting Zhang, Yonggang Qi, Jie Yang and Jenq-Neng Hwang.
2020 IEEE International Conference on Multimedia and Expo (ICME2020)
Sketch Fewer to Recognize More by Learning A Co-regularized Sparse Representation
Yonggang Qi and Yi-Zhe Song.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
Unpaired Image-to-Sketch Translation Network for Sketch Synthesis
Yue Zhang, Guoyao Su, Yonggang Qi and Jie Yang.
IEEE Visual Communications and Image Processing (VCIP), 2019.
SketchSegNet+: An End-to-End Learning of RNN for Multi-Class Sketch Semantic Segmentation
Yonggang Qi and Zheng-Hua Tan.
IEEE ACCESS.
Image Retrieval by Dense Caption Reasoning
Xinru Wei, Yonggang Qi, Jun Liu and Fang Liu.
IEEE Visual Communications and Image Processing (VCIP), 2017. Oral
Instance-level Coupled Subspace Learning for Fine-grained Sketch-based Image Retrieval
Peng Xu, Qiyue Yin, Yonggang Qi, Yi-Zhe Song, Zhanyu Ma, Liang Wang and Jun Guo.
European Conference on Computer Vision (ECCV), Workshop on Visual Analysis of Sketches, 2016. Oral
Sketch-based Image Retrieval via Siamese Convolutional Neural Network
Yonggang Qi, Yi-Zhe Song, Honggang Zhang and Jun Liu.
IEEE International Conference on Image Processing (ICIP), 2016.
Making Better Use of Edges via Perceptual Grouping
Yonggang Qi, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Timothy Hospedales, Yi Li and Jun Guo.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
Im2Sketch: Sketch generation by unconflicted perceptual grouping
Yonggang Qi, Jun Guo, Yi-Zhe Song, Tao Xiang, Honggang Zhang and Zheng-Hua Tan.
Neurocomputing
sketching by perceptual grouping
Yonggang Qi, Jun Guo, Yi Li, Honggang Zhang, Tao Xiang and Yi-Zhe Song.
IEEE International Conference on Image Processing (ICIP), 2013.